HMS - Postdoctoral Fellow in Biomedical Informatics (HIDIVE Lab)

Harvard University; Boston (MA); Hybrid; USD 65,000 - 90,000; Full time

Job summary

Harvard Medical School HIDIVE Lab is seeking a Postdoctoral Research Fellow in Biomedical Informatics to lead one or more projects at the interface of human and AI collaboration in biomedical data visualization. You will develop strategies under the PI’s mentorship to advance research and dissemination.

You will mentor interns and students, and may participate in teaching and outreach activities as part of a collaborative, interdisciplinary team.

Qualifications

• Doctoral degree in biomedical informatics, computer science, data science or a related field.
• Peer-reviewed publications in top venues in your area of expertise.
• Demonstrated ability to work collaboratively across scientific domains.

Responsibilities

• Publish research findings and disseminate work with PI guidance.
• Collaborate with team across engineering, design and biomedical disciplines.
• Secure funding via grants and industry sponsorship to support projects and dissemination.
• Mentor junior lab members and occasionally participate in teaching/outreach.

Skills

Scientific writing

Collaboration

Project leadership

Mentoring

Education

Doctoral degree in Biomedical Informatics

Tools

HiGlass

Vitessce

Gosling

HuBMAP Data Portal

Job description

HMS - Postdoctoral Fellow in Biomedical Informatics (HIDIVE Lab)

Title HMS - Postdoctoral Fellow in Biomedical Informatics (HIDIVE Lab)

School

School Harvard Medical School

Department/Area

Position Description

Our Lab

Join our team of researchers, engineers, and designers to shape a future in which humans and AI collaborate to solve the most challenging biological and medical problems!

The HIDIVE Lab in the Department of Biomedical Informatics at Harvard Medical School is conducting research at the interface human and artificial intelligence. We create methods and tools that enable humans and machines alike to interact with and generate insights from biomedical data. In our work, we combine state-of-the-art biomedical informatics, data visualization, and AI/ML techniques across the full spectrum of biomedical data. An overview of recent publications of the lab can be found on Google Scholar.

We value diverse viewpoints, creative thinking, and bold initiative in a highly collaborative and interdisciplinary work environment. The HIDIVE Lab has an international reputation for creating high-impact data visualization tools, and we are driven to solve the most challenging design and engineering problems where biomedical data, humans, and AI meet. We would love to have you on our team!

Your Role

As a Postdoctoral Research Fellow in the lab, you will take a scientific leadership role and be in charge of one or more research projects. Under the mentorship of the PI, you will develop and execute strategies for

• publishing
• collaboration
• funding acquisition (grants, industry sponsorship)

to support and disseminate your work. You will also have the opportunity to

• mentor junior lab members (interns, Master’s and PhD students) and
• Occasionally participate in teaching and outreach.

Research Fellows typically stay in the lab for a period of around 2 – 4 years with the aim of leading a research group as their next career step. Alternative career paths can be supported as well but the primary goal is to prepare Research Fellows for success as an independent researcher in academic or non-profit settings. To achieve your career goals, you will be able to take advantage of career development opportunities offered by the Harvard Medical School Postdoc Office and other Harvard University resources.

Our Research

We are currently looking for postdoctoral researchers who want to contribute to our mission by leading research projects in one or more of the following areas:

• Generative AI for visual exploration of biomedical data
• Interfaces for collaboration with AI Co-Scientists
• Multimodal clinical data visualization, including EHR , imaging, genomics, and clinical trial data
• Mixed Reality for 2D and 3D tissue data visualization in spatial biology
• Communication and interactive storytelling through biomedical data visualization
• Multimodal spatial and single-cell data visualization
• 2D and 3D bioimaging data visualization
• Data analysis and data management infrastructure for biomedical data visualization

Our Resources

The HIDIVE Lab participates in large-scale collaborative projects such as

Through these projects, we have access to a large number of data sets across many data modalities as well as large user audiences and collaborators who are leading experts in their biomedical domains. We are also working with many individual collaborators at Harvard and beyond, who bring their computational, data science, and biomedical expertise to our projects.

Our work also benefits from multiple research software products (e.g., HiGlass , Vitessce , Gosling , HuBMAP Data Portal User Interface , etc.) that the HIDIVE Lab has developed and maintains through a team of engineers and designers. These products are used by individual scientists, consortia, and companies all over the world and can serve as a framework to implement and disseminate the outcomes of our research.

Basic Qualifications

The minimum qualifications for this role are:

• Doctoral degree in biomedical informatics, computer science, computational biology, data science or a related field.
• Peer-reviewed publications in the top venues in your area of expertise.
• Demonstrated ability to work collaboratively across scientific domains.

Additional Qualifications

If visa sponsorship is needed, Harvard retains the discretion to determine which visa status is appropriate and whether a visa sponsorship application will ultimately be submitted, including payment of any applicable fees.

Special Instructions

Contact Information

EEO/Non-Discrimination Commitment Statement

Harvard University is committed to equal opportunity and non-discrimination. We seek talent from all parts of society and the world, and we strive to ensure everyone at Harvard thrives. Our differences help our community advance Harvard’s academic purposes.
Harvard has an equal employment opportunity policy that outlines our commitment to prohibiting discrimination on the basis of race, ethnicity, color, national origin, sex, sexual orientation, gender identity, veteran status, religion, disability, or any other characteristic protected by law or identified in the university’s non-discrimination policy . Harvard’s equal employment opportunity policy and non-discrimination policy help all community members participate fully in work and campus life free from harassment and discrimination.

Supplemental Questions

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